code: def _get_model_by_name(name, *args, **kwargs):
      models = {
          "efficientnet-b0": efficientnet.keras.EfficientNetB0,
          "efficientnet-b1": efficientnet.keras.EfficientNetB1,
          "efficientnet-b2": efficientnet.keras.EfficientNetB2,
          "efficientnet-b3": efficientnet.keras.EfficientNetB3,
          "efficientnet-b4": efficientnet.keras.EfficientNetB4,
          "efficientnet-b5": efficientnet.keras.EfficientNetB5,
      }
  
      model_fn = models[name]
      model = model_fn(*args, **kwargs)
      return model
  
file_path: efficientnet/scripts/load_efficientnet.py
imports: import argparse
  import sys
  import numpy
  import tensorflow
  import efficientnet.keras
  from keras.layers import BatchNormalization, Conv2D, Dense
label_desc: Use image node_id 1 for calling a global function with example usage: _get_model_by_name(name) and returns: model